DocumentCode
458759
Title
Hybrid Model for Knowledge Representation
Author
Shetty, Reena T N ; Riccio, Pierre-Michel ; Quinqueton, Joël
Author_Institution
LGI2P, EMA, Paris
Volume
1
fYear
2006
fDate
9-11 Nov. 2006
Firstpage
355
Lastpage
361
Abstract
In this paper the fundamental idea is top develop and explore an innovative approach of completing human designed networks with that of machine built word networks. This network forms a hybrid method which combines human precision with that of machine computation to form a knowledge representation model. This model in turn encourages faster and efficient construction of automatic ontology. Our objective is to tackle the problem faced in the field of information retrieval and classification in the current era of information overflow
Keywords
classification; information retrieval; ontologies (artificial intelligence); automatic ontology; information classification; information overflow; information retrieval; knowledge representation; machine computation; Buildings; Costs; Humans; Information retrieval; Knowledge representation; Machine intelligence; Ontologies; Proposals; Resource description framework; Semantic Web;
fLanguage
English
Publisher
ieee
Conference_Titel
Hybrid Information Technology, 2006. ICHIT '06. International Conference on
Conference_Location
Cheju Island
Print_ISBN
0-7695-2674-8
Type
conf
DOI
10.1109/ICHIT.2006.253512
Filename
4021115
Link To Document